Employment in industry (% of total employment) (modeled ILO estimate) - Country Ranking

Definition: Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The industry sector consists of mining and quarrying, manufacturing, construction, and public utilities (electricity, gas, and water), in accordance with divisions 2-5 (ISIC 2) or categories C-F (ISIC 3) or categories B-F (ISIC 4).

Source: International Labour Organization, ILOSTAT database. Data retrieved in September 2019.

See also: Thematic map, Time series comparison

Find indicator:
Rank Country Value Year
1 Qatar 53.70 2019
2 Turkmenistan 39.83 2019
3 Czech Republic 37.25 2019
4 Slovak Republic 36.09 2019
5 Bahrain 35.25 2019
6 United Arab Emirates 34.22 2019
7 Slovenia 34.10 2019
8 Tunisia 33.46 2019
9 Poland 32.13 2019
10 Hungary 32.09 2019
11 Oman 32.01 2019
12 Bosnia and Herzegovina 31.71 2019
13 Iran 31.39 2019
14 North Macedonia 31.13 2019
15 Tonga 30.87 2019
16 Algeria 30.42 2019
17 Belarus 30.38 2019
18 Romania 30.07 2019
19 Bulgaria 30.02 2019
20 Estonia 28.70 2019
21 Cambodia 27.91 2019
22 Sri Lanka 27.87 2019
23 Croatia 27.67 2019
24 Vietnam 27.44 2019
25 Serbia 27.43 2019
26 China 27.42 2019
27 Germany 27.18 2019
28 Malaysia 27.01 2019
29 Egypt 26.94 2019
30 Russia 26.79 2019
31 Trinidad and Tobago 26.64 2019
32 Italy 25.87 2019
33 Lithuania 25.70 2019
34 Mexico 25.55 2019
35 Austria 25.36 2019
35 Kyrgyz Republic 25.36 2019
37 Turkey 25.32 2019
38 Burkina Faso 25.16 2019
39 India 25.12 2019
40 Guyana 24.97 2019
41 Pakistan 24.96 2019
41 Ukraine 24.96 2019
43 Samoa 24.89 2019
44 Saudi Arabia 24.80 2019
45 Armenia 24.75 2019
46 Portugal 24.68 2019
47 Korea 24.58 2019
48 Jordan 24.45 2019
49 Libya 24.43 2019
50 Suriname 24.33 2019
51 Japan 24.22 2019
52 Latvia 23.72 2019
53 Mauritius 23.68 2019
54 Lebanon 23.59 2019
55 Eswatini 23.39 2019
56 Syrian Arab Republic 23.19 2019
57 Morocco 23.09 2019
58 Uzbekistan 23.02 2019
59 Iraq 22.93 2019
60 New Caledonia 22.87 2019
61 Thailand 22.84 2019
62 El Salvador 22.51 2019
63 Indonesia 22.36 2019
64 South Africa 22.31 2019
65 Chile 22.25 2019
66 Kuwait 22.15 2019
67 Argentina 21.84 2019
68 Cabo Verde 21.80 2019
69 Moldova 21.72 2019
70 Finland 21.64 2019
71 Mongolia 21.58 2019
72 Congo 21.47 2019
73 Honduras 21.39 2019
74 Bangladesh 21.32 2019
75 Ghana 21.05 2019
76 Kazakhstan 20.98 2019
77 Belgium 20.84 2019
78 Brunei 20.76 2019
79 France 20.43 2019
79 Spain 20.43 2019
81 Switzerland 20.34 2019
82 Albania 20.15 2019
83 Colombia 20.12 2019
84 Brazil 19.99 2019
85 United States 19.91 2019
86 St. Vincent and the Grenadines 19.88 2019
87 Norway 19.42 2019
88 Bolivia 19.41 2019
88 Montenegro 19.41 2019
90 Equatorial Guinea 19.35 2019
91 New Zealand 19.29 2019
92 Canada 19.25 2019
93 Togo 19.21 2019
94 Philippines 19.12 2019
95 Australia 19.06 2019
96 Barbados 18.93 2019
97 Malta 18.92 2019
98 Comoros 18.83 2019
98 Uruguay 18.83 2019
100 Dominican Republic 18.82 2019
101 Costa Rica 18.80 2019
102 Ireland 18.77 2019
103 Guatemala 18.73 2019
104 Denmark 18.55 2019
104 Afghanistan 18.55 2019
106 Cyprus 18.44 2019
107 Sweden 18.42 2019
108 Benin 18.31 2019
109 Paraguay 18.14 2019
110 United Kingdom 18.12 2019
111 São Tomé and Principe 17.94 2019
112 Panama 17.72 2019
113 Botswana 17.62 2019
114 Mauritania 17.61 2019
115 Iceland 17.47 2019
116 Israel 17.23 2019
117 Ecuador 17.21 2019
118 Cuba 17.11 2019
119 Myanmar 16.94 2019
120 Sudan 16.82 2019
121 Namibia 16.40 2019
122 Timor-Leste 16.32 2019
123 Nicaragua 16.24 2019
124 Jamaica 16.18 2019
125 Netherlands 16.11 2019
126 Tajikistan 15.79 2019
127 Belize 15.59 2019
128 Singapore 15.55 2019
129 Venezuela 15.34 2019
129 Greece 15.34 2019
131 Puerto Rico 15.21 2019
132 Peru 15.20 2019
133 Nepal 15.11 2019
134 The Gambia 15.01 2019
135 Azerbaijan 14.79 2019
136 St. Lucia 14.69 2019
137 The Bahamas 14.48 2019
138 Cameroon 14.42 2019
139 Georgia 14.26 2019
140 Fiji 14.14 2019
141 Vanuatu 14.08 2019
142 Djibouti 13.44 2019
143 Lesotho 13.31 2019
144 Papua New Guinea 13.23 2019
145 Senegal 13.12 2019
146 Lao PDR 12.94 2019
147 Côte d'Ivoire 12.86 2019
148 Dem. People's Rep. Korea 12.73 2019
149 Solomon Islands 12.13 2019
150 Nigeria 12.00 2019
151 Hong Kong SAR, China 11.08 2019
152 Luxembourg 10.81 2019
153 Gabon 10.74 2019
154 Zambia 10.53 2019
155 Yemen 10.20 2019
156 Bhutan 10.15 2019
156 Liberia 10.15 2019
158 Dem. Rep. Congo 9.84 2019
159 Macao SAR, China 9.66 2019
160 Ethiopia 9.32 2019
161 Madagascar 8.73 2019
162 Rwanda 8.63 2019
163 Guinea-Bissau 8.61 2019
164 Mozambique 8.59 2019
165 Mali 7.56 2019
166 Eritrea 7.29 2019
167 Angola 6.80 2019
168 Sierra Leone 6.76 2019
169 Niger 6.71 2019
170 Haiti 6.66 2019
171 Zimbabwe 6.57 2019
172 Uganda 6.51 2019
173 Tanzania 6.47 2019
174 Central African Republic 6.26 2019
175 Kenya 6.22 2019
176 Guinea 5.79 2019
177 Malawi 5.37 2019
178 Burundi 3.35 2019
179 Somalia 2.41 2019
180 Chad 1.88 2019

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Development Relevance: Sectoral information is particularly useful in identifying broad shifts in employment and stages of development. In the textbook case of economic development, labour flows from agriculture and other labour-intensive primary activities to industry and finally to the services sector; in the process, workers migrate from rural to urban areas. The breakdown of the indicator by sex allows for analysis of gender segregation of employment by specific sector. Women may be drawn into lower-paying service activities that allow for more flexible work schedules thus making it easier to balance family responsibilities with work life. Segregation of women in certain sectors may also result from cultural attitudes that prevent them from entering industrial employment. Segregating one sex in a narrow range of occupations significantly reduces economic efficiency by reducing labor market flexibility and thus the economy's ability to adapt to change. This segregation is particularly harmful for women, who have a much narrower range of labor market choices and lower levels of pay than men. But it is also detrimental to men when job losses are concentrated in industries dominated by men and job growth is centered in service occupations, where women have better chances, as has been the recent experience in many countries.

Limitations and Exceptions: There are many differences in how countries define and measure employment status, particularly members of the armed forces, self-employed workers, and unpaid family workers. Where members of the armed forces are included, they are allocated to the service sector, causing that sector to be somewhat overstated relative to the service sector in economies where they are excluded. Where data are obtained from establishment surveys, data cover only employees; thus self-employed and unpaid family workers are excluded. In such cases the employment share of the agricultural sector is severely underreported. Caution should be also used where the data refer only to urban areas, which record little or no agricultural work. Moreover, the age group and area covered could differ by country or change over time within a country. For detailed information, consult the original source. Countries also take different approaches to the treatment of unemployed people. In most countries unemployed people with previous job experience are classified according to their last job. But in some countries the unemployed and people seeking their first job are not classifiable by economic activity. Because of these differences, the size and distribution of employment by economic activity may not be fully comparable across countries. The ILO reports data by major divisions of the ISIC revision 2, revision 3, or revision 4. Broad classification such as employment by agriculture, industry, and services may obscure fundamental shifts within countries' industrial patterns. A slight majority of countries report economic activity according to the ISIC revision 3 instead of revision 2 or revision 4. The use of one classification or the other should not have a significant impact on the information for the employment of the three broad sectors data.

Statistical Concept and Methodology: The International Labour Organization (ILO) classifies economic activity using the International Standard Industrial Classification (ISIC) of All Economic Activities, revision 2 (1968), revision 3 (1990), and revision 4 (2008). Because this classification is based on where work is performed (industry) rather than type of work performed (occupation), all of an enterprise's employees are classified under the same industry, regardless of their trade or occupation. The categories should sum to 100 percent. Where they do not, the differences are due to workers who are not classified by economic activity. The series is part of the ILO estimates and is harmonized to ensure comparability across countries and over time by accounting for differences in data source, scope of coverage, methodology, and other country-specific factors. The estimates are based mainly on nationally representative labor force surveys, with other sources (population censuses and nationally reported estimates) used only when no survey data are available.

Aggregation method: Weighted average

Periodicity: Annual